Course description:
The Data Fundamentals for Microsoft Azure course focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.
The goal of this course is to demonstrate real-world foundational knowledge of core data concepts and how they are implemented using Data Fundamentals Microsoft Azure data services — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.
Duration:
1 day of training
Audience:
Designed for business users, functional consultants, and other professionals, this course focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads.
Prerequisites
- 1-2 years professional experience developing cloud solutions
- Experience working with Microsoft Azure
- Foundational knowledge of core data concepts and their implementation
Course objectives:
Upon successful completion of this course, students should be able to:
- Describe core data concepts
- Describe how to work with relational data on Azure
- Describe how to work with non-relational data on Azure
- Describe an analytics workload on Azure
Lesson 1: Describe core data concepts
- Skill 1.1: Describe types of core data workloads
- Skill 1.2: Describe data analytics core concepts
Lesson 2: Describe how to work with relational data on Azure
- Skill 2.1: Describe relational data workloads
- Skill 2.2: Describe relational Azure data services
- Skill 2.3: Identify basic management tasks for relational data
- Skill 2.4: Describe query techniques for data using SQL language
Lesson 3: Describe how to work with non-relational data on Azure
- Skill 3.1: Describe non-relational data workloads
- Skill 3.2: Describe non-relational data offerings on Azure
- Skill 3.3: Identify basic management tasks for non-relational data
Lesson 4: Describe an analytics workload on Azure
- Skill 4.1: Describe analytics workloads
- Skill 4.2: Describe the components of a modern data warehouse
- Skill 4.3: Describe data ingestion and processing on Azure
- Skill 4.4: Describe data visualization in Microsoft Power BI
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